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RNA-seq analysis of an apical meristem time series reveals a critical point in Arabidopsis thaliana flower initiation

Overview of attention for article published in BMC Genomics, June 2015
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
RNA-seq analysis of an apical meristem time series reveals a critical point in Arabidopsis thaliana flower initiation
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1688-9
Pubmed ID
Authors

Anna V. Klepikova, Maria D. Logacheva, Sergey E. Dmitriev, Aleksey A. Penin

Abstract

Floral transition is a critical event in the life cycle of a flowering plant as it determines its reproductive success. Despite extensive studies of specific genes that regulate this process, the global changes in transcript expression profiles at the point when a vegetative meristem transitions into an inflorescence have not been reported. We analyzed gene expression during Arabidopsis thaliana meristem development under long day conditions from day 7 to 16 after germination in one-day increments. The dynamics of the expression of the main flowering regulators was consistent with previous reports: notably, the expression of FLOWERING LOCUS C (FLC) decreased over the course of the time series while expression of LEAFY (LFY) increased. This analysis revealed a developmental time point between 10 and 12 days after germination where FLC expression had decreased but LFY expression had not yet increased, which was characterized by a peak in the number of differentially expressed genes. Gene Ontology (GO) enrichment analysis of these genes identified an overrepresentation of genes related to the cell cycle. We discovered an unprecedented burst of differential expression of cell cycle related genes at one particular point during transition to flowering. We suggest that acceleration of rate of the divisions and partial cell cycling synchronization takes place at this point.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
United States 2 1%
Chile 1 <1%
Japan 1 <1%
South Africa 1 <1%
Unknown 187 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 27%
Researcher 44 23%
Student > Master 26 13%
Student > Bachelor 13 7%
Student > Doctoral Student 10 5%
Other 19 10%
Unknown 30 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 48%
Biochemistry, Genetics and Molecular Biology 54 28%
Environmental Science 5 3%
Computer Science 2 1%
Business, Management and Accounting 1 <1%
Other 4 2%
Unknown 34 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2016.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from BMC Genomics
#3,603
of 10,653 outputs
Outputs of similar age
#89,241
of 264,477 outputs
Outputs of similar age from BMC Genomics
#90
of 250 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.